公开(公告)号：US08589397B2

公开(公告)日：2013-11-19

申请号：US12733895

申请日：2008-04-21

申请人： Ryohei Fujimaki

发明人： Ryohei Fujimaki

IPC分类号： G06F17/30

CPC分类号： G06K9/6269 ,  G06K9/6284 ,  G06K9/6286 ,  G06K9/6287 ,  G06N99/005

摘要： A separation surface set storage part stores information defining a plurality of separation surfaces which separate a feature space into at least one known class region respectively corresponding to at least one known class and an unknown class region. Each of the at least one known class region is separated from outside region by more than one of the plurality of separation surfaces which do not intersect to each other. A data classification apparatus determine a classification of a classification target data whose inner product in the feature space is calculable by calculating to which region of the at least one known class region and the unknown class region determined by the information stored in the separation surface set storage part the classification target data belongs. A method and apparatus for data classification which can simultaneously perform identification and outlying value classification with high reliability in a same procedure are provided.

摘要翻译： 分离表面集合存储部分存储限定将特征空间分成至少一个已知类别区域的多个分离表面的信息，所述至少一个已知类别区域分别对应于至少一个已知类别和未知类别区域。 所述至少一个已知类别区域中的每一个与所述多个分离表面中的多于一个彼此不相交的外部区域分开。 数据分类装置通过计算由存储在分离表面集合存储器中的信息确定的至少一个已知类别区域和未知类别区域的哪个区域来计算特征空间中的内积的分类目标数据的分类 分类目标数据所属的部分。 提供了一种用于数据分类的方法和装置，其可以在相同的过程中同时执行具有高可靠性的识别和偏离值分类。

公开(公告)号：US20130042148A1

公开(公告)日：2013-02-14

申请号：US13643391

申请日：2011-04-26

申请人： Ryohei Fujimaki ,  Hidenori Tsukahara

发明人： Ryohei Fujimaki ,  Hidenori Tsukahara

IPC分类号： G06F11/08

CPC分类号： G06F11/079 ,  G05B23/024 ,  G05B23/0275

摘要： A malfunction analysis apparatus (100) is provided with a malfunction-analysis processor (107), an attribute-extraction processor (108), and an outputter (105). The malfunction-analysis processor (107) obtains a malfunction-contribution degree, which indicates a degree that individual malfunctions (to be called malfunctioning elements, hereafter) contribute to the malfunctioning of the object being analyzed, on the basis of the relative relationship between the data to be analyzed that has, as elements thereof, values generated on the basis of a plurality of indicator values of the object being analyzed, and representative values for the plurality of indicators corresponding to each of the plurality of malfunctions. Then, the malfunctioning elements being generated is specified, on the basis of the obtained malfunction-contribution degree. The attribute-extraction processor (108) specifies, when a malfunctioning is taking place that is a combination of the malfunctioning elements, the indicators that are estimated as the cause of the specified malfunctioning elements, on the basis of the representative values of the plurality of indicators, and the values of each of the elements of the data to be analyzed that was stored. The outputter (105) outputs the specified malfunctioning elements and/or the indicators.

摘要翻译： 故障分析装置（100）具有故障分析处理器（107），属性提取处理器（108）和输出器（105）。 故障分析处理器（107）基于所述故障分析处理器（107）之间的相对关系获得故障贡献度，其指示个人故障（以下称为故障元件）在一定程度上有助于所分析对象的故障 要分析的数据，其作为其元件具有基于被分析对象的多个指示符值生成的值以及与多个故障中的每一个对应的多个指示符的代表值。 然后，基于获得的故障贡献度来指定产生的故障元件。 属性提取处理器（108）根据多个功能元件的代表值，指定作为故障单元的组合发生作为所指定故障单元的原因而被估计的指示符的故障发生时 指标，以及要存储的要分析的数据的每个元素的值。 输出器（105）输出指定的故障元件和/或指示器。